Publisher
source

Technion - Israel Institute of Technology

MSc, PhD, and Postdoc Positions in Medical AI, Computer Vision, and MRI at Technion Technion - Israel Institute of Technology in Israel

Degree Level

Master's, PhD, Postdoc

Field of study

Computer Science

Funding

Available

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Country

Israel

University

Technion - Israel Institute of Technology

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Keywords

Computer Science
Signal Processing
Electrical Engineering
Medical Imaging
Deep Learning
Image Processing
Computer Vision
Python Programming
3d Printing
Medical Science
Magnetic Resonance Imaging
Inverse Problem
Physics

About this position

The Medical AI & MRI Lab (Shimron Lab) at the Andrew & Erna Viterbi Faculty of Electrical & Computer Engineering, Technion - Israel Institute of Technology, is seeking MSc, PhD students, and postdoctoral researchers. The lab's research focuses on developing advanced computer vision and deep learning algorithms for medical imaging, optimizing sampling methods, theoretical work on inverse problems, and designing and running MRI scans. Additional interests include 3D printing related to medical applications.

Applicants should have a strong background in signal and image processing, machine or deep learning, physics, and proficiency in Python. The lab offers a dynamic research environment at the intersection of medical science, computer science, and electrical engineering, with opportunities to contribute to impactful projects in medical AI and imaging. Candidates will work under the supervision of Efrat Shimron and collaborate with a multidisciplinary team.

To apply, interested candidates should send an email with their application, CV, and grades transcript to [email protected]. For more information about the faculty and lab, visit the provided LinkedIn pages.

Funding details

Available

What's required

Applicants should have a strong background in signal and image processing, machine learning or deep learning, physics, and proficiency in Python. Submission of an application, CV, and grades transcript is required.

How to apply

Send an email with your application, CV, and grades transcript to [email protected] expressing your interest in the position.

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